Research on Recognition of Rosewood Based on BP Neural Network Algorithm Based on Microscopic Characteristics of Wood. (English)

The development of China's solid wood furniture industry is relatively mature. As a precious raw wood material, rosewood plays an important role in the solid wood furniture industry. The number of imported rosewood in China has also increased year by year. The traditional identification method of rosewood categories mainly relied on the experience of professionals, so accurate and scientific identification of rosewood was very important for both furniture industry and handicrafts. In this article, a rosewood recognition method based on the surrounding features of wood was proposed. The BP neural network algorithm was used to establish a recognition model, which has been proven to have good recognition effect and can provide a new method for the identification of rosewood. [ABSTRACT FROM AUTHOR]

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